Mi Amigo — CS2 Stats
NL76561198848122847[U:1:887857119]Steam profile ↗✓ No bans
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Performance scores
0–100 skill scores via Leetify.
Recent form
Last 10 vs previous 10: +30pp win rate · +0.04 avg rating
Player DNA
Primary style: Hybrid Rifler — Aim-led profile without a single dominant tendency.
Style profile from tracked-match aggregates — how this player plays, not how good they are. Classification rules are deterministic and documented in code.
Your pro match

Plays most like NiKo 86% playstyle similarity
Most alike: opening-duel success, utility contribution.
Where you differ: lower positioning profile; lower aim profile.
Similarity of playstyle shape across shared dimensions — it says how you play, not that you play at their level. Full comparison →
Strengths & areas to improve
Areas to improve
Counter-strafing. Only 68% of shots are taken properly stopped — moving-shot inaccuracy is quietly taxing every duel.
Generated by fixed rules over this profile's own numbers — no model, no guessing; silent when the sample is too small to support a claim.
CSDB Rating breakdown
Composite 4.8/10 (Developing), a weighted mean of the bars with a small opposition adjustment (×1.02 for this rank band). Formula versioned (v1) and documented in code.
Trends
Rolling 5-match average across the last 100 tracked matches, oldest to newest. The delta compares the first third of the window with the last.
Highlights
Map breakdown
| Map | Grade | Played | Record | Win rate | Avg rating |
|---|---|---|---|---|---|
| A | 39 | 23–16 | 59% | -0.00 | |
| A | 34 | 21–13 | 62% | 0.01 | |
| B | 17 | 9–8 | 53% | 0.02 | |
| office | — | 4 | 2–2 | 50% | -0.01 |
| — | 3 | 3–0 | 100% | 0.02 | |
| — | 2 | 1–1 | 50% | -0.02 | |
| — | 1 | 0–1 | 0% | -0.04 |
Across the last 100 tracked matches.
Dust 2 is currently your weakest sufficiently-sampled map (53% over 17). Start with the 6 essential Dust 2 lineups, review the callouts, then spin up a practice server.
Lifetime stats
Most-used weapons
Lifetime map wins
Lifetime totals via Steam — visible because this profile's game details are public. Spans CS:GO and CS2.
Faceit stats
Combat
Clutches & streaks
Recent Faceit resultsWWWLW
| Map | Matches | Win rate | Avg K/D | Avg kills |
|---|---|---|---|---|
| Mirage | 10 | 70% | 1.05 | 18.0 |
| Ancient | 6 | 67% | 1.00 | 18.2 |
| Anubis | 6 | 50% | 1.22 | 17.2 |
| Dust2 | 5 | 40% | 0.99 | 17.0 |
| Inferno | 5 | 60% | 0.97 | 13.6 |
| Train | 2 | 0% | 0.52 | 8.0 |
| Nuke | 2 | 50% | 1.14 | 17.5 |
| Vertigo | 1 | 0% | 0.53 | 9.0 |
Faceit-match stats via the FACEIT Data API — a separate match pool from the sections above.
Skill profile
Aggregate performance across tracked matches — stats via Leetify. Percentile context against other CSDB-tracked players arrives as our own benchmark data accumulates.
Recommended for you
Chosen by comparing your tracked metrics against the thresholds we flag — the measurement behind each one is shown, so you can disagree with it.
- Advanced Mechanics
You are losing most of the first duels you take on T side, which is usually a peeking and spacing problem, not aim.
T opening duels 30.8728% — below the 40% mark we flag
Recent matches
| Map | Score | Rating | HS% | Date | |
|---|---|---|---|---|---|
| 13–10 | 0.02 | 19% | 27 Aug → | ||
| 13–6 | 0.07 | 21% | 27 Aug → | ||
| 7–13 | 0.00 | 14% | 23 Aug → | ||
| 13–9 | -0.02 | 16% | 23 Aug → | ||
| 13–8 | -0.03 | 27% | 23 Aug → | ||
| 2–13 | -0.01 | 19% | 23 Aug → | ||
| 13–10 | -0.00 | 32% | 22 Aug → | ||
| 11–13 | 0.05 | 16% | 22 Aug → | ||
| 14–16 | -0.05 | 17% | 21 Aug → | ||
| 13–3 | 0.12 | 9% | 21 Aug → | ||
| 10–13 | 0.01 | 21% | 21 Aug → | ||
| 3–13 | -0.01 | 17% | 21 Aug → | ||
| 13–7 | -0.06 | 13% | 20 Aug → | ||
| 12–12 | -0.11 | 3% | 20 Aug → | ||
| 7–1 | 0.06 | 14% | 20 Aug → | ||
| 4–13 | -0.06 | 21% | 19 Aug → | ||
| 8–13 | -0.04 | 15% | 19 Aug → | ||
| 4–13 | -0.07 | 11% | 19 Aug → | ||
| 11–13 | -0.04 | 14% | 19 Aug → | ||
| 13–3 | 0.01 | 24% | 18 Aug → | ||
| 13–4 | 0.04 | 22% | 18 Aug → | ||
| 1–13 | -0.13 | 0% | 17 Aug → | ||
| 9–13 | -0.03 | 22% | 17 Aug → | ||
| 10–13 | 0.04 | 16% | 17 Aug → | ||
| 2–13 | -0.08 | 21% | 17 Aug → | ||
| 16–13 | 0.01 | 14% | 16 Aug → | ||
| 2–13 | -0.00 | 30% | 16 Aug → | ||
| 13–8 | -0.02 | 31% | 16 Aug → | ||
| 13–9 | -0.04 | 14% | 15 Aug → | ||
| 16–14 | 0.05 | 27% | 15 Aug → | ||
| 13–8 | 0.05 | 28% | 15 Aug → | ||
| 6–13 | 0.09 | 21% | 14 Aug → | ||
| 0–13 | -0.01 | 15% | 14 Aug → | ||
| 13–9 | -0.01 | 17% | 14 Aug → | ||
| 13–8 | -0.05 | 21% | 14 Aug → | ||
| 13–5 | 0.04 | 12% | 13 Aug → | ||
| 13–3 | -0.02 | 36% | 13 Aug → | ||
| 13–9 | -0.02 | 12% | 13 Aug → | ||
| 11–1 | 0.06 | 17% | 13 Aug → | ||
| office | 4–13 | -0.09 | 29% | 12 Aug → | |
| 13–8 | -0.04 | 19% | 12 Aug → | ||
| 5–13 | 0.04 | 15% | 12 Aug → | ||
| 13–8 | 0.02 | 22% | 12 Aug → | ||
| 7–13 | -0.03 | 13% | 12 Aug → | ||
| 13–9 | -0.01 | 27% | 10 Aug → | ||
| 3–13 | -0.02 | 20% | 10 Aug → | ||
| 13–6 | 0.03 | 17% | 10 Aug → | ||
| office | 13–9 | -0.01 | 16% | 9 Aug → | |
| 13–4 | -0.01 | 27% | 9 Aug → | ||
| 13–8 | -0.05 | 10% | 9 Aug → | ||
| 13–5 | 0.03 | 18% | 9 Aug → | ||
| office | 12–12 | -0.02 | 9% | 8 Aug → | |
| 12–12 | 0.12 | 23% | 8 Aug → | ||
| 13–8 | 0.02 | 15% | 8 Aug → | ||
| 13–11 | 0.01 | 30% | 8 Aug → | ||
| 2–13 | -0.07 | 21% | 7 Aug → | ||
| 13–8 | -0.04 | 18% | 7 Aug → | ||
| 13–8 | -0.04 | 25% | 7 Aug → | ||
| 13–11 | -0.06 | 19% | 2 Aug → | ||
| 13–6 | -0.00 | 17% | 2 Aug → | ||
| 13–5 | 0.07 | 28% | 2 Aug → | ||
| 13–10 | 0.13 | 28% | 26 Jul → | ||
| 13–7 | 0.03 | 17% | 26 Jul → | ||
| 13–5 | 0.00 | 8% | 26 Jul → | ||
| office | 13–9 | 0.07 | 28% | 24 Jul → | |
| 11–13 | 0.02 | 25% | 24 Jul → | ||
| 13–9 | 0.05 | 16% | 24 Jul → | ||
| 13–7 | -0.06 | 22% | 24 Jul → | ||
| 13–9 | 0.03 | 12% | 10 Jul → | ||
| 12–12 | 0.01 | 25% | 29 Jun → | ||
| 12–12 | 0.09 | 19% | 29 Jun → | ||
| 12–12 | -0.01 | 12% | 29 Jun → | ||
| 13–9 | -0.01 | 21% | 28 Jun → | ||
| 13–5 | 0.07 | 16% | 28 Jun → | ||
| 5–13 | -0.03 | 29% | 28 Jun → | ||
| 13–11 | 0.00 | 16% | 25 Jun → | ||
| 13–3 | -0.01 | 20% | 25 Jun → | ||
| 7–13 | -0.08 | 9% | 24 Jun → | ||
| 5–13 | 0.07 | 29% | 24 Jun → | ||
| 13–9 | 0.06 | 17% | 24 Jun → | ||
| 13–8 | -0.06 | 16% | 23 Jun → | ||
| 13–10 | 0.08 | 31% | 22 Jun → | ||
| 13–10 | -0.04 | 28% | 20 Jun → | ||
| 11–13 | 0.02 | 22% | 16 Jun → | ||
| 13–7 | 0.07 | 25% | 13 Jun → | ||
| 10–13 | -0.03 | 4% | 13 Jun → | ||
| 13–9 | 0.02 | 15% | 7 Jun → | ||
| 12–12 | -0.01 | 24% | 25 Apr → | ||
| 6–13 | -0.00 | 14% | 25 Apr → | ||
| 13–7 | 0.08 | 27% | 25 Apr → | ||
| 12–12 | 0.08 | 27% | 25 Apr → | ||
| 13–10 | 0.03 | 28% | 25 Apr → | ||
| 13–1 | 0.00 | 17% | 10 Apr → | ||
| 7–13 | 0.01 | 9% | 10 Apr → | ||
| 13–3 | 0.10 | 29% | 10 Apr → | ||
| 10–13 | -0.05 | 10% | 5 Apr → | ||
| 11–13 | -0.03 | 28% | 5 Apr → | ||
| 13–4 | -0.07 | 18% | 5 Apr → | ||
| 1–13 | 0.10 | 27% | 19 Mar → | ||
| 13–8 | 0.02 | 35% | 19 Mar → |
Match data via Leetify.